Article Figures & Data
Tables
- Appendix.
Characteristics of Tumors in Women With Screen-Detected and Interval Cancers (N = 559)
Invasive Cancers In Situ Cancers Tumor Characteristic* Screen-Detected (n = 345) No. (%) Interval (n = 100) No. (%) PValue Screen-Detected (n = 100) No. (%) Interval (n = 14) No. (%) P Value Note: Tumor characteristics were not available for 65 (10%) of the women (36 screen, 29 interval). NA = not applicable. * Missing: 67 for stage (49 screen, 18 interval); 100 for lymph node status (76 screen, 24 interval); 88 for tumor size (66 screen, 22 interval); and 192 for tumor grade (142 screen, 50 interval). Stage I or II 288 (97) 70 (85) <.001 NA NA NA III or IV 8 (3) 12 (15) Lymph node status Positive 71 (26) 30 (40) .03 NA NA NA Negative 198 (74) 46 (61) Tumor size ≤10 mm 92 (29) 15 (18) .02 40 (62) 2 (25) .08 11–20 mm 144 (46) 37 (44) 17 (26) 3 (38) ≥21 mm 78 (25) 32 (38) 8 (12) 3 (38) Tumor grade 1 or 2 159 (65) 31 (53) .09 32 (56) 2 (40) .49 3 or 4 87 (35) 28 (48) 25 (44) 3 (60) Characteristic Women With Screen-Detected Cancers (n = 481) No. (%) Women With Interval Cancers (n = 143) No. (%) P Value GED = graduate equivalent degree; HRT = hormone replacement therapy; CBE = clinical breast examination. * Missing: 47 for education (39 screen, 8 interval); 13 for insurance (11 screen, 2 interval); 3 for family history of breast cancer (all screen); 3 for personal history of breast cancer (all screen); 55 for menopausal status and HRT use (41 screen, 14 interval); 24 for breast density (all screen); 85 for time since last mammogram (77 screen, 8 interval), and 296 for time since last CBE (218 screen, 78 interval). Age at diagnosis, years .67 ≤39 8 (1.7) 4 (2.8) 40–49 106 (22.0) 35 (24.5) 50–59 140 (29.1) 36 (25.2) 60–69 100 (20.8) 34 (23.8) ≤70 127 (26.4) 34 (23.8) Education* .50 Less than high school 30 (6.8) 7 (5.2) High school graduate or GED 125 (28.3) 34 (25.2) Some college or technical school 128 (29.0) 48 (35.6) College or postcollege graduate 159 (36.0) 46 (34.1) Insurance* .04 Yes 449 (95.5) 140 (99.3) No 21 (4.5) 1 (0.7) Family history of breast cancer* .82 Yes 193 (40.4) 60 (42.0) No 279 (58.4) 82 (57.3) Don’t know 6 (1.3) 1 (0.7) Personal history of breast cancer* <.001 Yes 65 (13.6) 43 (30.1) No 413 (86.4) 100 (69.9) Menopausal status and current HRT use* .58 Premenopausal 119 (27.1) 35 (27.1) Postmenopausal, no HRT 210 (47.7) 56 (43.4) Postmenopausal, HRT 111 (25.2) 38 (29.5) Breast density* .48 Fatty 25 (5.5) 5 (3.5) Scattered density 213 (46.6) 66 (46.2) Heterogeneously dense 184 (40.3) 56 (39.2) Extremely dense 35 (7.7) 16 (11.2) Time since the mammogram before the one associated with the cancer diagnosis* .001 Never had one 22 (5.5) 2 (1.5) <1 year 81 (20.1) 35 (25.9) 1–2 years 228 (56.4) 89 (65.9) >2 years 73 (18.1) 9 (6.7) Time since the CBE before the one associated with the cancer diagnosis* .77 Never had one 4 (1.5) 2 (3.1) <1 year 200 (76.1) 48 (73.9) 1–2 years 47 (17.9) 13 (20.0) >2 years 12 (4.6) 2 (3.1) - Table 2.
Distribution of Types of Breast Concerns by Patient Age Among 101 Women With Interval Cancers (n = 229 concerns)
Age, Years* Breast Concern† ≤39 No. (%) 40–49 No. (%) 50–59 No. (%) 60–69 No. (%) ≥70 No. (%) P Value‡ * Values are no. (%) of concerns of that type; values total across rows. † Values in parentheses are numbers of concerns. ‡ P value is for the test of independence by each concern across patient age. Lump in breast (n = 59) 2 (3) 21 (36) 15 (25) 14 (24) 7 (12) .2 Skin changes (n = 13) 0 (0) 3 (23) 2 (15) 4 (31) 4 (31) .72 Family history of breast cancer (n = 61) 2 (3) 14 (23) 14 (23) 17 (28) 14 (23) .45 Personal history of breast cancer (n = 74) 1 (1) 21 (28) 18 (24) 19 (26) 15 (19) .37 Other concern (n = 22) 1 (5) 4 (18) 6 (27) 4 (18) 7 (32) .37 - Table 3.
Distribution of Breast Cancer Discovery Scenarios by Cluster of Most Common Type of Breast Concern(s) (n = 74 women)
Cluster of Breast Concerns Discovery Scenario Lump Only No. (%) Lump, Pain, Personal History of Breast Cancer No. (%) Lump, Pain, Family History of Breast Cancer No. (%) Lump, Personal & Family History of Breast Cancer No. (%) Personal & Family History of Breast Cancer Only No. (%) P Value* Note: Two women were missing a discovery scenario. See text for a description of less frequent concerns in the remaining 23 women. CBE = clinical breast examination. * P value is for the test of independence for each discovery scenario by type of breast problem. Patient initiated health care visit because of a breast concern (n = 45) 4 (9) 11 (24) 6 (13) 20 (44) 4 (9) <.01 Clinician found area of concern while conducting routine CBE (n = 11) 0 (0) 4 (36) 3 (27) 3 (27) 1 (9) .15 Breast cancer was found on next screening mammogram (n = 14) 2 (15) 1 (7) 1 (8) 1 (8) 9 (64) .001 Other (n = 4) 1 (25) 0 (0) 1 (25) 1 (25) 1 (25) .43
Additional Files
The Article in Brief
Discovery of Breast Cancers Within 1 Year of a Normal Screening Mammogram: How Are They Found?
By Patricia A. Carney, PhD, and colleagues
Background There has been little research into how breast cancer is discovered when it is not picked up on a mammogram or when it appears between mammograms. This study looks at how breast cancer is discovered within 1 year of a normal mammogram.
What This Study Found Of the 143 women in this study, approximately one half decided to visit to the doctor when they had 1 or more breast concerns, especially when they found a lump and had a personal or family history of breast cancer. Seventeen percent of the breast cancers were found by women's primary care doctors, and the rest were picked up on a follow-up mammogram. Most women in the study were cared for by the doctor who referred them for the mammogram that identified the cancer.
Implications
- No screening test, including mammograms, picks up all cancers.
- Women at highest risk for breast cancer should be monitored by their primary care doctor and strongly encouraged to visit the doctor at the first sign of a lump.
- Women, especially those with a personal or family history of breast cancer, should report breast symptoms to the doctor, even if they have had a recent negative mammogram.
- An ongoing relationship with a primary care doctor is important in helping to detect breast cancer between mammograms.